programme

Introductory Statistics in education

Home/ Introductory Statistics in education
Course TypeCourse CodeNo. Of Credits
Foundation CoreSES2013131

Semester and Year Offered: semester II (Winter semester)

Course Coordinator and Team: Dr. Nivdita Sarkar

Email of course coordinator: niveditasarkar@aud.ac.in

Pre-requisites: The course is compulsory for all students of the programme

Course Description:

This introductory workshop course on elementary statistics has been designed to introduce and familiarize the students with basic (educational) statistics and to enable them to become better readers of educational research. Along with developing the ability to conceptually understand and manually apply basic statistical techniques, an attempt will be made to equip students with basic skills of working with MS Excel for data analysis in education.

Course Objectives:

  1. To understand the epistemological difference between quantitative and qualitative research methods
  2. To recognize various concepts of descriptive statistics
  3. To familiarize students with data sets available in the area of education
  4. To understands the methods of central tendency, skewness, kurtosis and dispersion.
  5. To interpret the results drawn on elementary statistics.
  6. To introduce students with the intuition behind Normal Probability Curve
  7. To graphically represent a group of empirical data.
  8. To familiarize students with EXCELincrease their ability to do basic empirical analysis with the help of EXCEL.

 

Course Outcomes: One completion of this course

  1. The students will be able to comprehend and interpret graphs and summary statistics presented in academic papers, reports and studies.
  2. The students will be able to identify which estimates of central tendency (mean, median, mode) would be applied to solve a particular empirical problem.
  3. The students will be able to recognize the various measures of dispersion and their applicability to solve different empirical problems.
  4. The students will be able to recognize the concepts of skewness and kurtosis
  5. The students will be able to recognize which dataset could be represented through Normal Probability Curve
  6. The students will be able use basic statistical tools to do preliminary empirical analysis.
  7. The students will be able to use Excel and SPSS for their own for empirical analysis.

 

Brief description of the units:

Unit 1: Introduction to the basic concepts of statistics, database on education in India

Unit 2: Collecting data/selecting a data set (from a given selection) pertaining to one question/issue

Unit 3: Organization and tabulation of the data and graphical representation and using EXCEL

Unit 4: Measures of central tendency (mean, median, mode) and estimating those by using EXCEL

Unit 5: Measures of dispersion/variation (range, inter-quartile range, standard deviation) and estimating those with the help of EXCEL

Unit 6: Introduction to Normal Probability Curve (intuition behind z-scores, t-test)

Unit 7: Concept of skewness and Kurtosis

 Assessment Plan

S.No

Assessment

Weightage

1

Assignment-2 (Mid-term class test)

30%

2

Assignment-3 (End term test)

40%

3

Participation in class activities, group activities, discussion

20%

 

Readings:

  • Creswell, J. W. (2003). Research Design: Qualitative, Quantitative and Mixed Methods Approaches. Second Edition. University of Nebraska (Chapter 1, pp.3- 26).
  • Coladarci, T., Cobb, C. D., Minium, E. W., & Clarke, R. C. (2010). Fundamentals of statistical reasoning in education. John Wiley & Sons.
  • Healey, J. F. (2014). Statistics: A tool for social research. Cengage Learning.
  • Kumar, R. (2015). Research Methodology. Fourth Edition. Sage India (Chapter 12, pp. 231-248)
  • Cohen, L., L. Manion and K. Morrison. (2000). Fifth Edition. Research Methods in Education. Routledge Falmer (Chapter 12, pp. 211- 225)
  • ASER Centre. (2014). Middle Schools in India: Access and Quality | MacArthur Foundation Grant No. 11-99655-00-INP. (A.2: Baseline survey questionnaires)
  • Converse, J. and S. Presser. (1986). Survey Questions: Handcrafting the Standardized Questionnaire, Issue 63.
  • Some Suggested Reference Resources: (To be decided by the faculty transacting the course)
  • Sources of data: DISE, Indian educational survey-NCERT, Selected educational statistics(MHRD), NSSO, ASER, PISA, NGOs/Education Initiative/IMRB/National AchievementSurvey-NCERT.
  • Suggested for survey:
  • EdCIL. (2011). Progress overview of research. Research, Evaluation and Studies Unit, Technical Support Group for SSA, pp. 1 – 23.
  • Glasow, P. A. (2005). Fundamentals of survey research methodology. Retrieved January, 18, 2013.
  • Govinda, R. & Varghese, N.V. (1993): Quality of Primary Schooling in India: A Case Study of Madhya Pradesh, India. Paris: UNESCO International Institute for Educational Planning. (For survey)
  • National Sample Survey (2014): Social Consumption: Education, Schedule 25.2